Founding AI Engineer - Lantern at Pear VC

San Francisco, California, United States

Pear VC Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Supply ChainIndustries

Requirements

Candidates must have prior startup experience or a strong appetite for it, be fluent in Python and SQL, and possess a track record of shipping ML systems to production, including feature engineering, training, serving, monitoring, and retraining. Deep exposure to a modern cloud ML stack, particularly GCP services like BigQuery, Vertex AI, and Cloud Composer, is essential, along with strong systems design instincts and a bias for pragmatic, scalable solutions. High agency, low ego, and a Bay Area residency with a commitment to 5-day-a-week onsite work are also required. Bonus points are given for hands-on MLOps experience, familiarity with time-series and unstructured data for forecasting/optimization, Terraform and Kubernetes experience, a history of mentoring, and a passion for supply chain or logistics.

Responsibilities

The Founding AI Engineer will own product velocity across the full ML stack, from cloud infrastructure and data pipelines to model-serving endpoints and lightweight dashboards. Responsibilities include rapidly shipping ML features by prototyping, demoing to customers, and iterating based on feedback, as well as scaling the forecasting engine and data ingestion workflows across customers with automated retraining and drift monitoring. The role also involves designing and building clean, scalable backends, APIs, and inference services, collaborating on architecture, product direction, hiring, and culture, and focusing on real-world outcomes like inventory turns, margin, and cash flow.

Skills

Machine Learning
Data Pipelines
MLOps
Cloud Infrastructure
Model Deployment
Python
Data Engineering

Pear VC

Venture capital firm for early-stage startups

About Pear VC

Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.

San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees

Risks

Increased competition from other VC firms in AI and biotech sectors.
Potential overvaluation of startups could lead to investment losses.
Regulatory challenges in biotech and healthcare may impact growth strategies.

Differentiation

Pear VC specializes in pre-seed and seed investments across diverse sectors.
The firm offers hands-on strategic advice and operational support to startups.
Pear VC focuses on innovation in AI, fintech, SaaS, healthcare, and deep tech.

Upsides

Growing interest in AI-driven healthcare solutions presents new investment opportunities.
Rising demand for cell engineering platforms suggests lucrative biotech investments.
Fitness tech startups focusing on community building are gaining traction.

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